> ## Documentation Index > Fetch the complete documentation index at: https://docs.domino.ai/llms.txt > Use this file to discover all available pages before exploring further. # List dataset jobs ## OpenAPI ````yaml /api-specs/6.3/public-api.json post /model-monitor/v2/api/{model_id}/dataset-jobs openapi: 3.0.3 info: title: Domino Public API description: Reference for Domino's public REST API endpoints. version: 6.3.1 x-catalog-key: nucleus servers: - url: https://mycluster.domino.tech description: >- Replace 'mycluster.domino.tech' with your Domino cluster hostname. For Domino Cloud customers, that is `your-subdomain`.domino.tech (e.g., acme.domino.tech). For self-hosted deployments, it is the hostname you reach the Domino UI at. security: [] tags: - name: Projects - name: Project templates - name: Workspaces - name: Jobs - name: HPC Jobs - name: Environments - name: Hardware Tiers - name: Datasets - name: Data Sources - name: AI Gateway - name: GenAI - name: AI Systems - name: Apps - name: App versions - name: App instances - name: Model APIs - name: Registered models - name: Model deployment - name: Extensions - name: Cost and billing - name: Users and organizations - name: Service accounts - name: Personal Access Tokens - name: Personal Access Tokens (admin) - name: Audit Trail - name: Custom metrics - name: PPM - name: Model Monitoring models - name: Model Monitoring drift and quality - name: Model Monitoring settings - name: Model Monitoring authentication - name: Governance bundles - name: Governance policies - name: Governance evidence and results - name: Governance operations - name: NetApp Volumes - name: NetApp Volumes snapshots - name: NetApp Volumes filesystems - name: NetApp Volumes transfers - name: Tags - name: Properties externalDocs: description: OpenAPI url: https://swagger.io/resources/open-api/ paths: /model-monitor/v2/api/{model_id}/dataset-jobs: summary: Get the list of jobs associated with a model parameters: - in: path name: model_id schema: type: string required: true description: Identifier of the model post: tags: - Model Monitoring drift and quality operationId: getDatasetJobs requestBody: required: true description: '' content: application/json: schema: $ref: '#/components/schemas/dmm-plier_jobHistoryRequest' responses: '200': description: Gets the list of jobs for the model content: application/json: schema: $ref: '#/components/schemas/dmm-plier_listJobResponse' '404': description: Dataset not found for the given identifier. '500': description: Internal server error, check server logs. security: - dmm-plier_DominoApiKeyAuth: [] - dmm-plier_DmmApiKeyAuth: [] - dmm-plier_cookieAuth: [] - dmm-plier_BearerAuth: [] components: schemas: dmm-plier_jobHistoryRequest: title: List Dataset Jobs description: List the dataset jobs associated with a model type: object required: - start - end - pagination properties: start: description: Start Date for the Dataset range type: integer end: description: End Date for the Dataset range type: integer pagination: $ref: '#/components/schemas/dmm-plier_jobPagination' search: description: Search key for dataset name type: string filters: $ref: '#/components/schemas/dmm-plier_jobDashboardFilter' dmm-plier_listJobResponse: type: object required: - total - jobs properties: total: description: >- Total number of jobs qualified for the query sent, without pagination type: integer jobs: type: array description: List of jobs by pagination items: $ref: '#/components/schemas/dmm-plier_jobHistoryResponse' dmm-plier_jobPagination: title: Pagination Object description: This is used to fetch the result in a paginated manner type: object required: - order - sort - page - size properties: order: description: The sorting order, 1 for ascending and -1 for descending type: integer enum: - 1 - -1 sort: description: The sorting key to be used type: string enum: - created_at - records page: description: The page number for the data to be fetched type: integer size: description: The page size to be used for fetching the data type: integer dmm-plier_jobDashboardFilter: title: Dataset Job Dashboard Filter description: Filter keys for dataset job dashboard type: object properties: status: description: Status of the dataset job type: array items: type: string enum: - pending - processing - done - failed - skipped job_type: description: Type of the dataset job type: array items: $ref: '#/components/schemas/dmm-plier_jobType' dmm-plier_jobHistoryResponse: title: Dataset Job description: Dataset Job summary for history type: object required: - job_id - dataset_id - dataset_name - datasource_name - datasource_type - job_type - registered_on - status - dataset_path - infos - errors - warnings properties: job_id: description: Unique Identifier of a dataset job type: string dataset_id: description: Unique Identifier of a dataset type: string feature_set_details: $ref: '#/components/schemas/dmm-plier_featureSetDetails' actionable_insights_details: $ref: '#/components/schemas/dmm-plier_actionableInsightsDetails' dataset_name: description: Name of the dataset associated with the job type: string datasource_name: description: Name of the datasource, the dataset belongs to type: string datasource_type: $ref: '#/components/schemas/dmm-plier_datasourceType' job_type: description: Type of the dataset job, such as training, prediction type: string enum: - training - prediction - ground_truth - actionable_insights registered_on: description: The timestamp, when dataset was registered on type: integer records: description: Number of records processed in the dataset job type: integer status: description: Processing status of the dataset job type: string enum: - pending - processing - done - failed - skipped dataset_path: description: The path of the dataset type: string errors: description: list of errors encountered during the job processing type: array items: type: string warnings: description: list of warnings encountered during the job processing type: array items: type: string infos: description: list of infos encountered during the job processing type: array items: type: string dmm-plier_jobType: description: Type of processing, can be training or prediction. type: string dmm-plier_featureSetDetails: required: - featureSetId - featureSetVersionId properties: featureSetId: description: The version id for the current feature set version. type: string featureSetVersionId: description: >- The feature set id of the feature set to which the current feature set version belongs to. type: string dmm-plier_actionableInsightsDetails: properties: domino_job_url: description: The URL of the Domino Job. type: string domino_results_url: description: URL at which the results can be accessed. type: string dmm-plier_datasourceType: description: Type of the datasource to which the dataset belongs. type: string enum: - s3 - generic_s3 - azure_blob - azure_data_lake_gen_2 - google_cloud_storage - azure_data_lake_gen_1 - hdfs - nfs - snowflake securitySchemes: dmm-plier_DominoApiKeyAuth: type: apiKey in: header name: X-Domino-Api-Key dmm-plier_DmmApiKeyAuth: type: apiKey in: header name: X-DMM-API-KEY dmm-plier_cookieAuth: type: apiKey in: cookie name: PLAY_SESSION dmm-plier_BearerAuth: type: http scheme: bearer ```` ## Related topics - [Monitor Jobs](/6.3/platform-capabilities/core-concepts/jobs/monitor-jobs.md) - [Create and manage Datasets](/6.3/platform-capabilities/core-concepts/data/datasets/create-and-manage-datasets.md) - [List](/6.3/api-reference/artifacts/list.md) - [Use Datasets and snapshots](/6.3/platform-capabilities/core-concepts/data/datasets/use-datasets-and-snapshots.md)